Research
Current Projects
My lab currently focuses on theoretical and applied aspects of:
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Inverse Problems using Deep Learning
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Physics-informed Machine Learning
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Adversarial Machine Learning
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Deep Reinforcement Learning
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Distributed Machine Learning
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Nonlinear Imaging and Phase Retrieval
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Autonomous Navigation
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Materials Characterization
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Fast Algorithms for Graph Data Processing
Past Projects
In the past I have also worked on:
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Compressed Sensing
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Manifold-based Signal Processing
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Seismic Data Analysis
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Computational Imaging
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Super-resolution
Acks
My work has been generously supported by the following institutions.








